-
**TL;DR : The plugin is in [active development here](https://github.com/Galileo-Galilei/kedro-mlflow) and is [available on PyPI](https://pypi.org/project/kedro-mlflow/). It already works reliably with…
-
The current version of ``kedro-mlflow`` only enable to log a a full pipeline as a mlflow model through the ``KedroPipelineModel`` class. It would be useful to create an ``AbstractDataSet`` class in or…
-
## Description & context
Users can specify names for their nodes to identify them more easily. When a name is not explicitly specified, Kedro auto-generates a default name. You can see this in the `n…
-
I propose to add project_path to `run.py` template in #53
```Python
MlflowPipelineHook(
model_name="{{ cookiecutter.python_package }}", conda_env="{{ cookiecutter.project_path }…
-
Hey,
## Description
I've been using Kedro on a project and had a requirement which I couldn't really figure out how to solve. Maybe I'm missing something really straightforward. I want to be able …
-
## Description
I'm always frustrated when I/O dominates compute.
For example, my pipeline takes 10 minutes to run, of which 9 minutes are spent writing to and reading back from S3.
## Context
…
-
# Context
As of today, ``kedro-mlflow`` offers a clear way to log parameters (through a ``Hook``) and artifacts (through the ``MlflowArtifactDataSet`` class in the ``catalog.yml``.
However, there …
-
Currently, all possible CLI arguments and options are logged as tags even if they have no values (they weren't specified). I think this is unnecessary and we should only set the tags for the passed ar…
-
## Description
Dependency conflict with PyYAML.
Kedro requires PyYAML>=5.1,
-
## Description
We introduced `KedroContext` last year to orchestrate many things in Kedro and give users a way to extend or override certain functionalities in Kedro.
However, we've received a lo…